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dc.contributor.authorBedsole, Charles Blake
dc.date.accessioned2014-05-01T04:30:19Z
dc.date.available2014-05-01T04:30:19Z
dc.date.issued2013-12
dc.identifier.otherbedsole_charles_b_201312_edd
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/bedsole_charles_b_201312_edd
dc.identifier.urihttp://hdl.handle.net/10724/29719
dc.description.abstractThis purpose of this study was to analyze the predictive validity of the GMAT and GRE specifically for MBA program admissions purposes, and also to try and identify other factors that may be statistically significant predictors of academic success (as defined by graduate GPA). As of this writing, the predictive validity of the GRE for MBA programs had not been analyzed, even though the majority of business schools globally now accept the GRE as part of their admissions processes. A review of the current literature base was conducted which included a historical overview of standardized testing broadly and the GMAT/GRE specifically and prior predictive validity research specific to the GMAT/GRE and other factors thought to predict academic success. Using a dataset which consisted of 749 total student records from three institutions in the United States, this study used correlation, bivariate regression, and multivariate regression techniques to determine the variables that were most important in predicting academic success. It was found that undergraduate GPA was the strongest standalone predictor of graduate academic success for both the GMAT and GRE test-taker subgroups. The GMAT was a significant predictor of first-semester and final MBA GPAs, and the GRE, while not significant in the prediction of first-semester MBA GPA, was a significant predictor of final MBA GPA and accounted for slightly more variance than the GMAT in the sample. The study also found that the AACSB score, a formula which combines undergraduate GPA and standardized exam score, was the strongest predictor of MBA academic success amongst all variables collected in this sample.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectPredictive validity
dc.subjectStandardized testing
dc.subjectAcademic success
dc.subjectGMAT
dc.subjectGRE
dc.subjectMBA programs
dc.subjectAdmissions decisions
dc.titleApples to apples?
dc.title.alternativecomparing the predictive validity of the GMAT and GRE for business schools, and building a better admissions formula
dc.typeDissertation
dc.description.degreeEdD
dc.description.departmentInstitute of Higher Education
dc.description.majorHigher Education
dc.description.advisorRobert K. Toutkoushian
dc.description.committeeRobert K. Toutkoushian
dc.description.committeeKaren Webber
dc.description.committeeSheila Slaughter


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